CN111968002B - Cultivation service system - Google Patents

Cultivation service system Download PDF

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Publication number
CN111968002B
CN111968002B CN202010822772.9A CN202010822772A CN111968002B CN 111968002 B CN111968002 B CN 111968002B CN 202010822772 A CN202010822772 A CN 202010822772A CN 111968002 B CN111968002 B CN 111968002B
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information
server
expert
target
drug
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CN111968002A (en
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熊江林
邱银生
吴凌智
潘奕凡
方聪
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Wuhan Polytechnic University
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Wuhan Polytechnic University
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/02—Agriculture; Fishing; Mining
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

The invention discloses a cultivation service system, which comprises: user terminal equipment and a server; according to the invention, multimedia information input by a user is acquired through user terminal equipment, a server performs disease diagnosis according to the multimedia information to acquire an initial diagnosis result, a to-be-selected expert information table and a to-be-selected medicine information table are determined according to the initial diagnosis result, the user terminal equipment receives target expert terminal equipment selected by the user based on the to-be-selected expert information table, the server searches for target expert terminal equipment corresponding to the target expert information, receives expert diagnosis results fed back by the target expert terminal equipment according to the multimedia information and the to-be-selected medicine information table, and when the expert diagnosis results are preset determination results, the target medicine information is extracted from the expert diagnosis results, and the user terminal equipment displays the expert diagnosis results and the target medicine information; therefore, efficient and convenient cultivation service can be provided for the user, and user experience is improved.

Description

Cultivation service system
Technical Field
The invention relates to the field of Internet, in particular to a cultivation service system.
Background
In recent years, the breeding industry in China is rapidly developed, and the number of farms in large scale is continuously increased. However, due to lack of medical beasts, large gap of breeding technicians, low technology of breeding workers and the like, the breeding efficiency of farms at remote places is low and the cost is high.
However, due to the lag of the cultivation service industry, the prior art does not have a cultivation service system for the cultivation industry, so that a cultivation farm at a remote place cannot obtain efficient and convenient cultivation service.
The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art.
Disclosure of Invention
The invention mainly aims to provide a cultivation service system and aims to solve the technical problem of how to provide cultivation services.
To achieve the above object, the present invention provides a farming service system comprising: user terminal equipment and a server;
the user terminal equipment is used for acquiring multimedia information input by a user and sending the multimedia information to the server;
the server is used for diagnosing diseases according to the multimedia information and obtaining an initial diagnosis result;
the server is further configured to determine an expert information table to be selected and a drug information table to be selected according to the initial diagnosis result, and send the expert information table to be selected and the drug information table to be selected to the user terminal device;
the user terminal equipment is also used for receiving target expert information selected by the user based on the expert information table to be selected and sending the target expert information to the server;
The server is further configured to search a target expert terminal device corresponding to the target expert information, and send the multimedia information and the drug information table to be selected to the target expert terminal device;
the server is further configured to receive an expert diagnosis result fed back by the target expert terminal device according to the multimedia information and the to-be-selected drug information table, and determine whether the expert diagnosis result is a preset determination result;
the server is further configured to extract target drug information from the expert diagnosis result when the expert diagnosis result is the preset determination result, and send the target drug information to the user terminal device;
the user terminal device is further used for displaying the expert diagnosis result and the target medicine information.
Preferably, the server is further configured to perform feature extraction on the multimedia information to obtain a current information feature;
the server is further used for classifying the multimedia information according to the current information characteristics to obtain a current information category;
and the server is also used for diagnosing the diseases according to the current information category and the multimedia information, and obtaining an initial diagnosis result.
Preferably, the server is further configured to count the number of categories of the current information category, and determine whether the number of categories is greater than a preset threshold;
the server is further configured to search for a category weight corresponding to the current information category when the number of categories is greater than the preset threshold;
the server is further used for extracting the multimedia information according to the current information category to obtain the multimedia information to be matched;
the server is further used for matching the multimedia information to be matched with the multimedia information samples in the preset database to obtain a matching result;
the server is further configured to determine an initial diagnosis result according to the matching result and the category weight.
Preferably, the server is further configured to perform feature extraction on the multimedia information to be matched to obtain a disease feature to be matched;
the server is also used for extracting the characteristics of the multimedia information samples in the preset database to obtain disease characteristic samples;
the server is further configured to match the disease feature to be matched with the disease feature sample, and obtain a matching result.
Preferably, the server is further configured to obtain the warehouse-in laboratory information in a preset database and the current location information of the user terminal device when the expert diagnosis result is not the preset determination result;
The server is further used for determining laboratory distance information according to the warehouse-in laboratory information and the current position information, and sequencing the warehouse-in laboratory information according to the laboratory distance information to obtain a laboratory sequencing result;
the server is further configured to determine target laboratory information according to the laboratory sequencing result, and send the target laboratory information to the user terminal device;
the user terminal equipment is also used for displaying the target laboratory information, receiving a laboratory diagnosis result fed back by the user according to the target laboratory information, and sending the laboratory diagnosis result to the server;
the server is further configured to establish a correspondence between the multimedia information and the laboratory diagnosis result, and store the correspondence in the preset database.
Preferably, the server is further configured to obtain warehousing expert information and warehousing medicine information in a preset database, and determine a first association degree according to the diagnosis result and the warehousing expert information;
the server is further configured to sort the warehousing expert information according to the first association degree, obtain an expert sorting result, and generate an expert information table to be selected according to the expert sorting result;
The server is also used for determining a second association degree according to the diagnosis result and the warehouse-in medicine information;
the server is further configured to search authentication information corresponding to the drug information in storage, and sort the drug information in storage according to the authentication information and the second association degree, so as to obtain a drug sorting result;
the server is further configured to generate a to-be-selected drug information table according to the drug sorting result, and send the to-be-selected expert information table and the to-be-selected drug information table to the user terminal device.
Preferably, the server is further configured to detect identification information of the user terminal device, and determine whether the identification information is preset identification information;
the server is further configured to obtain mutual-assistance site information in a preset database and current location information of the user terminal device when the identification information is preset identification information;
the server is further used for determining mutual-assistance site distance information according to the mutual-assistance site information and the current position information, and sorting the mutual-assistance site information according to the mutual-assistance site distance information to obtain a mutual-assistance site sorting result;
The server is also used for determining target mutual-aid site information according to the mutual-aid site sequencing result and searching a target mutual-aid site terminal corresponding to the target mutual-aid site information;
the server is further configured to send the current location information to the target mutual-assistance site terminal.
Preferably, the server is further configured to determine whether the initial diagnosis result is a preset epidemic result;
the server is further configured to obtain terminal device information of the user terminal device when the initial diagnosis result is the preset epidemic result, and send the initial diagnosis result and the terminal device information to a preset alarm terminal.
Preferably, the server is further configured to generate a drug purchase link according to the target drug information, and send the drug purchase link to the user terminal device;
and the user terminal equipment is used for determining a target webpage according to the medicine purchase link and opening the target webpage.
Preferably, the user terminal device is further configured to receive usage information fed back by the user according to the target drug information, and send the usage information to the server;
The server is further used for judging whether the use information is preset effective information or not;
the server is further configured to send the usage information to the target expert terminal device when the usage information is not the preset valid information, receive current drug information fed back by the target expert terminal device, send the current drug information to the user terminal device, receive the current information fed back by the user terminal device, update the usage information according to the current information, and return the step of determining whether the usage information is the preset valid information until the usage information is the preset valid information;
the server is further configured to store the usage information, the initial diagnosis result, the expert diagnosis result, the target medicine information, and the usage information in a preset database when the usage information is the preset valid information.
In the invention, multimedia information input by a user is acquired through user terminal equipment, the multimedia information is sent to a server, the server performs disease diagnosis according to the multimedia information, an initial diagnosis result is obtained, the server determines an expert information table to be selected and a drug information table to be selected according to the initial diagnosis result, the expert information table to be selected and the drug information table to be selected are sent to the user terminal equipment, the user terminal equipment receives target expert information selected by the user based on the expert information table to be selected, the target expert information is sent to the server, the server searches for target expert terminal equipment corresponding to the target expert information, the multimedia information and the drug information table to be selected are sent to the target terminal equipment, the server receives expert diagnosis results fed back by the target expert terminal equipment according to the multimedia information and the drug information table to be selected, and judges whether the diagnosis results are preset determination results, and when the server displays the preset diagnosis results, the expert information is sent to the target expert terminal equipment, the target expert terminal equipment extracts the target drug information and the drug information; therefore, efficient and convenient cultivation service can be provided for the user, and user experience is improved.
Drawings
FIG. 1 is a block diagram of a first embodiment of a farming service system according to the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a block diagram illustrating a first embodiment of a cultivation service system according to the present invention. The cultivation service system comprises: a user terminal device 10 and a server 20.
The user terminal device 10 is configured to obtain multimedia information input by a user, and send the multimedia information to the server 20.
It should be noted that, the user terminal device 10 may be an electronic device such as a mobile phone, a tablet computer or a personal computer, or may be other devices capable of implementing the same or similar functions, which is not limited in this embodiment, and in this embodiment and the following embodiments, a mobile phone is taken as an example for illustration; the multimedia information may be at least one of image information, text information, video information, and audio information.
It should be understood that, the user terminal device 10 may acquire the multimedia information input by the user, that is, the user terminal device 10 detects the data to be processed input by the user and performs data filtering on the data to be processed to acquire the multimedia information, for example, the mobile phone detects the data to be processed input by the user and extracts the image information, the text information, the video information and the audio information from the data to be processed, and takes the image information, the text information, the video information and the audio information as the multimedia information.
It is understood that the user terminal device 10 may send the multimedia information to the server 20 by at least one of WIFI, 4G and 5G, which is not limited in this embodiment.
The server 20 is configured to perform disease diagnosis according to the multimedia information, and obtain an initial diagnosis result.
It should be understood that, the server 20 performs disease diagnosis according to the multimedia information, and the initial diagnosis result may be obtained by matching the multimedia information with multimedia information samples in a preset database, which may be information samples set by an operator of the server 20 according to historical disease characteristics, such as images, characters, video or audio characteristics of swine erysipelas, to obtain a matching result, and determining the initial diagnosis result according to the matching result.
It can be understood that, the server 20 determines the initial diagnosis result according to the matching result, extracts the successful matching rate and the disease type corresponding to the successful matching rate from the matching result, determines whether the successful matching rate is greater than a preset matching rate threshold, and takes the disease type corresponding to the successful matching rate as the initial diagnosis result when the successful matching rate is greater than the preset matching rate threshold.
The server 20 is further configured to determine an expert information table to be selected and a drug information table to be selected according to the initial diagnosis result, and send the expert information table to be selected and the drug information table to be selected to the user terminal device 10.
It should be noted that the expert information table to be selected may be an expert information table good at treating the disease type; the drug information table to be selected may be a drug information table having a good effect of treating the disease type, which is not limited in this embodiment.
It should be understood that, the server 20 may search the expert information table to be selected corresponding to the initial diagnosis result in the preset expert classification table according to the initial diagnosis result, where the preset expert classification table includes the correspondence between the diagnosis result and the expert information table, and the correspondence between the diagnosis result and the expert information table may be preset by the management end of the server 20.
It may be understood that, the server 20 may search the drug information table to be selected corresponding to the initial diagnosis result in the preset drug classification table according to the initial diagnosis result, where the preset drug classification table includes the correspondence between the diagnosis result and the drug information table, and the correspondence between the diagnosis result and the drug information table may be preset by the management end of the server 20.
The user terminal device 10 is further configured to receive target expert information selected by the user based on the expert information table to be selected, and send the target expert information to the server 20.
It should be noted that the target expert information may be target expert information of a target expert selected by the user according to the expert information table to be selected.
It should be understood that, the user terminal device 10 may first display the expert information table to be selected by the mobile phone, detect operation information of the user based on the expert information table to be selected, and determine the target expert information according to the operation information.
The server 20 is further configured to search a target expert terminal device corresponding to the target expert information, and send the multimedia information and the drug information table to be selected to the target expert terminal device.
It should be noted that the target expert terminal device may be a device communication address pre-stored in the database by the target expert corresponding to the target expert information.
It should be understood that, the server 20 may search for the target expert terminal device corresponding to the target expert information, and search for the target expert terminal device corresponding to the target expert information in a preset expert relationship table, where the preset expert relationship table includes a correspondence between the target expert information and the target expert terminal device, where the correspondence between the target expert information and the target expert terminal device may be pre-recorded by the management end of the server 20.
The server 20 is further configured to receive an expert diagnosis result fed back by the target expert terminal device according to the multimedia information and the to-be-selected drug information table, and determine whether the expert diagnosis result is a preset determination result.
It should be noted that, the preset determination result may be an expert diagnosis result to determine the disease type for the expert.
It should be understood that after the multimedia information and the drug information table to be selected are sent to the target expert terminal, the target expert terminal device may display the multimedia information and the drug information to be selected, so that the target expert performs diagnosis according to the multimedia information and the drug information to be selected, and generates an expert diagnosis result.
The server 20 is further configured to extract target drug information from the expert diagnosis result and send the target drug information to the user terminal device 10 when the expert diagnosis result is the preset determination result.
It should be understood that, when the expert diagnosis result is the preset determination result, it is explained that the target expert may determine the kind of the disease, and at this time, the target medicine information may be directly extracted from the expert diagnosis result.
The user terminal device 10 is further configured to display the expert diagnosis result and the target drug information.
It should be understood that the presentation of the expert diagnosis result and the target medicine information by the user terminal device 10 may be presentation of the expert diagnosis result and the target medicine information on a display interface of the user terminal device 10. For example, expert diagnosis results and target medicine information are displayed on a screen of the mobile phone.
In this embodiment, the user terminal device 10 obtains multimedia information input by a user, and sends the multimedia information to the server 20, the server 20 performs disease diagnosis according to the multimedia information, obtains an initial diagnosis result, the server 20 determines an expert information table to be selected and a drug information table to be selected according to the initial diagnosis result, sends the expert information table to be selected and the drug information table to the user terminal device 10, the user terminal device 10 receives target expert information selected by the user based on the expert information table to be selected, sends the target expert information to the server 20, the server 20 searches for a target expert terminal device corresponding to the target expert information, sends the multimedia information and the drug information table to the target expert terminal device, the server 20 receives the expert diagnosis results fed back by the expert terminal device according to the multimedia information and the drug information table to be selected, judges whether the expert diagnosis result is preset, and displays the expert diagnosis result from the user terminal device 10, and sends the expert terminal device to the target drug information to the server 20, and the drug terminal device determines the result when the expert terminal device is preset for the diagnosis result; therefore, efficient and convenient cultivation service can be provided for the user, and user experience is improved.
Based on the embodiment shown in fig. 1, a second embodiment of the cultivation service system of the present invention is proposed.
In this embodiment, the server 20 is further configured to perform feature extraction on the multimedia information to obtain a current information feature.
It should be noted that the current information feature may be a format feature of the multimedia information.
It should be understood that the server 20 may perform feature extraction on the multimedia information to obtain the current information feature, and may extract the format feature from the multimedia information, and use the format feature as the current information feature, for example, the format feature of the image information may be bmp, jpg, png, etc., which is not limited in this embodiment.
The server 20 is further configured to classify the multimedia information according to the current information feature, and obtain a current information category.
Note that, the current information category may be an image information category, a text information category, a video information category, an audio information category, and the like, which is not limited in this embodiment.
It will be appreciated that the server 20 classifies the multimedia information according to the current information feature, and obtains the current information category to classify the multimedia information into an image information category, a text information category, a video information category, an audio information category, and the like according to the current information feature.
The server 20 is further configured to perform disease diagnosis according to the current information category and the multimedia information, and obtain an initial diagnosis result.
In this embodiment, the server 20 performs feature extraction on the multimedia information to obtain current information features, the server 20 classifies the multimedia information according to the current information features to obtain current information types, and the server 20 performs disease diagnosis according to the current information types and the multimedia information to obtain an initial diagnosis result, so that the disease can be accurately and timely diagnosed.
Further, in consideration of practical application, if the multimedia information input by the user terminal device 10 includes a plurality of information categories, each information category may generate a respective diagnosis result, which may possibly result in excessive diagnosis results and conflict with each other. For example, a picture diagnosis result is generated from picture information, a text diagnosis result is generated from text information, and when a user inputs picture information and text information at the same time, initial diagnosis results that collide with each other may be generated. To overcome this drawback, the server 20 is further configured to count the number of categories of the current information category, and determine whether the number of categories is greater than a preset threshold.
It should be noted that the number of categories may be the number of categories of the multimedia information, for example, the multimedia information includes picture information and text information, and in this case, the number of categories is 2; the preset threshold may be a value set by the management end of the server 20 according to the actual situation, and in this embodiment, 1 is taken as an example for illustration.
It should be understood that when the number of categories is less than or equal to 1, it is indicated that only one type of multimedia information is inputted by the user, and at this time, the diagnosis result obtained by performing the disease diagnosis based on the multimedia information is directly taken as the initial disease diagnosis result.
The server 20 is further configured to search for a category weight corresponding to the current information category when the number of categories is greater than the preset threshold.
It can be understood that when the number of categories is greater than 1, it is indicated that the multimedia information input by the user includes multiple categories, and at this time, the category weight corresponding to each current information category needs to be searched to determine the credibility of the diagnosis result determined by each current information category.
The server 20 is further configured to extract the multimedia information according to the current information category, and obtain multimedia information to be matched.
It should be understood that the extracting the multimedia information according to the current information category may be searching the multimedia information to be matched corresponding to the current information category in the multimedia information, for example, the current information category is an image category, and at this time, the image information may be extracted from the multimedia information as the multimedia information to be matched.
The server 20 is further configured to match the multimedia information to be matched with a multimedia information sample in a preset database, so as to obtain a matching result.
It may be appreciated that the server 20 matches the multimedia information to be matched with the multimedia information sample in the preset database, and the matching result may be obtained by directly matching the multimedia information to be matched with the multimedia information sample.
Further, considering that in practical application, if the multimedia information to be matched is directly matched with the multimedia information sample, a matching result is obtained, the number of objects involved in the judging process is likely to be excessive, and the operation amount is likely to be excessive. To overcome this drawback, the server 20 is further configured to perform feature extraction on the multimedia information to be matched to obtain the disease feature to be matched.
It should be noted that the feature of the disease to be matched may be feature information for judging the disease, for example, a lung image, an eye image, etc. in the image information, which is not limited in this embodiment.
It should be understood that, the server 20 performs feature extraction on the multimedia information to be matched, so as to determine a feature extraction policy according to the current information category, and perform feature extraction on the multimedia information to be matched according to the feature extraction policy, so as to obtain the feature of the disease to be matched, where the feature extraction policy may be preset by a management end of the server 20, and this embodiment is not limited thereto.
The server 20 is further configured to perform feature extraction on the multimedia information samples in the preset database, so as to obtain a disease feature sample.
It can be understood that the server 20 performs feature extraction on the multimedia information samples in the preset database, and the obtaining of the disease feature samples may be performing feature extraction on the multimedia information samples according to a feature extraction policy to obtain the disease feature to be matched
The server 20 is further configured to match the disease feature to be matched with the disease feature sample, so as to obtain a matching result.
In a specific implementation, for example, the disease feature to be matched is matched with the disease feature sample, if the total number of the disease feature samples is 100, and the number of features of the disease feature sample of swine erysipelas, which are successfully matched with the disease feature to be matched of the diseased animal, is 90, the number of features of the disease feature sample of swine ring disease, which are successfully matched with the disease feature to be matched of the diseased animal is 75, and the number of features of the disease feature sample of swine blue ear, which are successfully matched with the disease feature to be matched of the diseased animal is 60, the target success rate can be correspondingly calculated.
It should be appreciated that the successful match rate may be obtained based on a predetermined match rate calculation formula, which is y is the successful matching rate, x is the feature quantity, and a is the matching rate weight. For example, a can be set to 100, the successful match rate corresponding to swine erysipelas is 90, the successful match rate corresponding to swine ring disease is 75, the successful match rate corresponding to swine blue ear is 60, and the successful match rate is taken as the match result。
The server 20 is further configured to determine an initial diagnosis result according to the matching result and the category weight.
It should be understood that, the server 20 may determine the initial diagnosis result according to the matching result and the category weight by extracting a successful matching rate from the matching result and multiplying the successful matching rate by the category weight to obtain a diagnosis reference value, and sort according to the diagnosis reference value to obtain a sort result, determine disease information according to the sort result, and regard the disease information as the initial diagnosis result.
In this embodiment, the server 20 is further configured to obtain the warehousing expert information and the warehousing medicine information in the preset database, and determine the first association degree according to the initial diagnosis result and the warehousing expert information.
It should be noted that, the warehouse-in expert information may be expert information pre-recorded by the management end of the server 20; the drug information stored in the warehouse may be drug information previously recorded by the management end of the server 20; the first degree of association may be an extent that indicates that the expert is adept at treating the disease for which the disease information corresponds.
It should be appreciated that the server 20 may determine the first degree of association according to the initial diagnosis result and the warehousing expert information, by acquiring disease information in the initial diagnosis result, and matching the disease information with the disease information good for treatment in the warehousing expert information, to obtain the first degree of association.
The server 20 is further configured to sort the warehouse-in expert information according to the first association degree, obtain an expert sorting result, and generate an expert information table to be selected according to the expert sorting result.
It may be appreciated that the server 20 ranks the warehousing expert information according to the first association degree, and the obtaining the expert ranking result may be that the server 20 ranks the warehousing expert information from large to small according to the first association degree to obtain the expert ranking result.
It should be understood that, the server 20 may select a preset number of the warehouse-in expert information as the expert information table to be selected according to the expert ranking result, for example, select the warehouse-in expert information with the first relevance rank of 5 to form the expert information table to be selected.
The server 20 is further configured to determine a second association degree according to the initial diagnosis result and the in-warehouse drug information.
The second degree of association may be indicative of a therapeutic effect of the drug for treating the disease corresponding to the disease information.
It should be understood that, the server 20 may determine the second association according to the initial diagnosis result and the drug information in the warehouse-in mode, so as to obtain the disease information in the initial diagnosis result, and match the disease information with the therapeutic information in the drug information in the warehouse-in mode, so as to obtain the second association.
The server 20 is further configured to search for authentication information corresponding to the drug information in storage, and sort the drug information in storage according to the authentication information and the second association degree, so as to obtain a drug sorting result.
It should be noted that the authentication information may be information that a drug manufacturer or a drug seller records a drug on a management end of the server 20 in advance, for example, the drug manufacturer or the drug seller may send the drug to a laboratory for drug detection, obtain a detection report, and record according to the detection report; or the medicine manufacturer or the medicine seller pays a certain amount of guarantee to obtain the authentication information with timeliness.
It should be understood that, the server 20 may search the preset database for the authentication information corresponding to the drug information, where the preset database stores the authentication information pre-stored by the management end of the server 20.
It may be appreciated that the server 20 may sort the drug information according to the authentication information and the second association degree, and obtain the drug sorting result by screening the drug information according to the authentication information, obtain the drug information of the authenticated drug, and sort the drug information of the drug from large to small according to the second association degree.
The server 20 is further configured to generate a to-be-selected drug information table according to the drug sorting result, and send the to-be-selected expert information table and the to-be-selected drug information table to the user terminal device 10.
It should be understood that, the server 20 may generate the drug information table to be selected according to the drug sorting result, and select a preset number of drug information in storage as the drug information table to be selected according to the drug sorting result, for example, select the drug information in storage with the second association degree of 5 rank first to form the drug information table to be selected.
In this embodiment, the server 20 obtains the expert information in the preset database and the drug information in the warehouse, and determines a first association degree according to the initial diagnosis result and the expert information in the warehouse, the server 20 ranks the expert information in the warehouse according to the first association degree to obtain an expert ranking result, and generates an expert information table to be selected according to the expert ranking result, the server 20 determines a second association degree according to the initial diagnosis result and the drug information in the warehouse, the server 20 searches the authentication information corresponding to the drug information in the warehouse, ranks the drug information in the warehouse according to the authentication information and the second association degree to obtain a drug ranking result, and the server 20 generates a drug information table to be selected according to the drug ranking result, and sends the drug information table to be selected and the drug information table to be selected to the user terminal device 10, so that the expert information table to be selected and the drug information table to be selected can be recommended accurately, and the user's demand can be satisfied.
Based on the embodiment shown in fig. 1, a third embodiment of the cultivation service system of the present invention is proposed.
In this embodiment, the server 20 is further configured to detect identification information of the user terminal device 10, and determine whether the identification information is preset identification information.
It should be noted that the identification information may be information for identifying the use situation of the user terminal device 10; the preset identification information may be information identifying that the user cannot independently use the farming service system.
It should be understood that, in consideration of the practical application, if the cultural history of the user terminal device 10 is too low or the cultural history of the user is too old, the independent use of the farming service system will be impossible. To overcome this drawback, the server 20 is further configured to detect the identification information of the user terminal device 10, and determine whether the identification information is preset identification information.
The server 20 is further configured to obtain the mutual assistance site information in a preset database and the current location information of the user terminal device 10 when the identification information is the preset identification information.
The mutual-assistance site information may be site information of a mutual-assistance site preset by the management end of the server 20, for example, site position, or may be position information of a culture company preset by the management end of the server 20, which is not limited in this embodiment.
It can be understood that when the identification information is the preset identification information, it is indicated that the user cannot independently use the cultivation service system, and at this time, the mutual assistance site information in the preset database and the current location information of the user terminal device 10 need to be acquired, so as to send the user location information that cannot independently use the cultivation service system to the mutual assistance site.
The server 20 is further configured to determine mutual-assistance site distance information according to the mutual-assistance site information and the current location information, and order the mutual-assistance site information according to the mutual-assistance site distance information, so as to obtain a mutual-assistance site ordering result.
It should be noted that the mutual-assistance site distance information may be current distance information between the mutual-assistance site and the user terminal device 10.
It should be appreciated that the server 20 orders the mutual site information according to the mutual site distance information, and the obtaining the mutual site ordering result may be ordering the mutual site information from small to large mutual site distances.
The server 20 is further configured to determine target mutual-assistance site information according to the mutual-assistance site ranking result, and search a target mutual-assistance site terminal corresponding to the target mutual-assistance site information.
It should be understood that, the server 20 may determine the target mutual-assistance site information according to the mutual-assistance site ranking result, and find the target mutual-assistance site terminal corresponding to the target mutual-assistance site information, and select the mutual-assistance site information with the highest ranking as the target mutual-assistance site information, and find the target mutual-assistance site terminal corresponding to the target mutual-assistance site information.
The server 20 is further configured to send the current location information to the target mutual-assistance site terminal.
It should be appreciated that after the server 20 transmits the current location information to the terminal of the target mutual aid site, the staff of the target site can immediately understand the current location information required to assist the user and go to the current location to assist the user in operating the farming service system.
In this embodiment, the server 20 detects the identification information of the user terminal device 10, determines whether the identification information is preset identification information, and when the identification information is the preset identification information, the server 20 obtains the mutual-assistance site information in a preset database and the current position information of the user terminal device 10, the server 20 determines mutual-assistance site distance information according to the mutual-assistance site information and the current position information, sorts the mutual-assistance site information according to the mutual-assistance site distance information, and obtains a mutual-assistance site sorting result, and the server 20 determines target mutual-assistance site information according to the mutual-assistance site sorting result, and searches for a target mutual-assistance site terminal corresponding to the target mutual-assistance site information, so that when a user cannot independently use the cultivation service system, reminding information can be sent to the mutual-assistance site, and help the user is provided by the mutual-assistance site.
In this embodiment, the server 20 is further configured to determine whether the initial diagnosis result is a preset epidemic result.
Note that, the epidemic result may be a cultured animal epidemic result entered in advance by the management end of the server 20, for example, african swine fever, etc., which is not limited in this embodiment.
The server 20 is further configured to obtain terminal device information of the user terminal device 10 when the initial diagnosis result is the preset epidemic result, and send the initial diagnosis result and the terminal device information to a preset alarm terminal.
The preset alarm terminal may be a terminal device of a national livestock agency.
It should be appreciated that when the initial diagnosis result is the preset epidemic result, it is explained that the initial diagnosis result is an epidemic result, and at this time, the initial diagnosis result and the terminal equipment information need to be uploaded to the terminal equipment of the national livestock office to prevent occurrence of a serious infectious disease.
In this embodiment, the server 20 determines whether the initial diagnosis result is a preset epidemic result, and when the initial diagnosis result is the preset epidemic result, obtains the terminal device information of the user terminal device 10, and sends the initial diagnosis result and the terminal device information to a preset alarm terminal, so that important infectious disease information can be fed back in time, and diffusion and epidemic interruption can be prevented.
In this embodiment, the server 20 is further configured to obtain the warehouse-in laboratory information in a preset database and the current location information of the user terminal device 10 when the expert diagnosis result is not the preset determination result.
It should be understood that, when the expert diagnosis result is not the preset determination result, it is explained why the expert cannot diagnose the disease on line according to the multimedia information, and at this time, it is required to recommend the laboratory closest to the user terminal device 10 so that the user can go to the laboratory for diagnosis.
Note that, the warehouse-in laboratory information in the preset database may be laboratory information that is input in advance by the management end of the server 20, and the warehouse-in laboratory information may be laboratory location information, etc., which is not limited in this embodiment.
The server 20 is further configured to determine laboratory distance information according to the warehouse-in laboratory information and the current location information, and order the warehouse-in laboratory information according to the laboratory distance information, so as to obtain a laboratory ordering result.
It should be appreciated that the server 20 orders the warehouse entry laboratory information according to the laboratory distance information, and the laboratory ordering result may be obtained by ordering the warehouse entry laboratory information from small to large according to the laboratory distance information.
The server 20 is further configured to determine target laboratory information according to the laboratory sequencing result, and send the target laboratory information to the user terminal device 10.
It will be appreciated that, the server 20 may determine the target warehouse-in laboratory information according to the laboratory sequencing result, and select the warehouse-in laboratory information with the forefront laboratory sequencing result as the target laboratory information, that is, push the laboratory information closest to the user.
The user terminal device 10 is further configured to display the target laboratory information, receive a laboratory diagnosis result fed back by the user according to the target laboratory information, and send the laboratory diagnosis result to the server 20.
It should be understood that after seeing the target laboratory information displayed by the user terminal device 10, the user may directly go to the target laboratory corresponding to the target laboratory information, perform disease detection, and after the detection is completed, the user may upload the laboratory diagnosis result to the user terminal device 10, and then the user terminal device 10 sends the laboratory diagnosis result to the server 20.
The server 20 is further configured to establish a correspondence between the multimedia information and the laboratory diagnosis result, and store the correspondence in the preset database.
It can be understood that the accuracy of the laboratory diagnosis result is the highest relative to the initial diagnosis result and the expert diagnosis result, so that the corresponding relationship between the multimedia information and the laboratory diagnosis result can be established first and stored in the preset database to update the multimedia information sample in the preset database.
In this embodiment, when the expert diagnosis result is not the preset determination result, the server 20 obtains the warehouse-in laboratory information in a preset database and the current position information of the user terminal device 10, determines the laboratory distance information according to the warehouse-in laboratory information and the current position information, and orders the warehouse-in laboratory information according to the laboratory distance information, obtains the laboratory ordering result, determines the target laboratory information according to the laboratory ordering result, sends the target laboratory information to the user terminal device 10, displays the target laboratory information by the user terminal device 10, receives the laboratory diagnosis result fed back by the user according to the target laboratory information, sends the laboratory diagnosis result to the server 20, and establishes a corresponding relation between the multimedia information and the laboratory diagnosis result by the server 20, and stores the corresponding relation in the preset database, thereby providing the laboratory information when the expert cannot diagnose the disease on line, and improving the reliability of the cultivation service system.
In this embodiment, the server 20 is further configured to generate a drug purchase link according to the target drug information, and send the drug purchase link to the user terminal device 10.
Note that, the medicine purchase link may be a medicine purchase link preset by the management end of the server 20.
It should be understood that the server 20 may generate the medicine purchase link according to the target medicine information by searching the medicine purchase link corresponding to the target medicine information in the preset database.
The user terminal device 10 is further configured to determine a target webpage according to the drug purchase link, and open the target webpage.
It should be appreciated that a link generally corresponds to a web page, and upon receipt of a drug purchase link, a target web page may be determined based on the drug purchase link and opened.
In this embodiment, the server 20 generates a drug purchase link according to the target drug information, and sends the drug purchase link to the user terminal device 10, and the user terminal device 10 determines a target webpage according to the drug purchase link and opens the target webpage, so that the user can jump to the purchase webpage of the target drug directly, and purchase of the drug directly is facilitated.
In this embodiment, the user terminal device 10 is further configured to receive usage information fed back by the user according to the target drug information, and send the usage information to the server 20.
The usage information may be information such as a usage effect and a usage amount of the target drug used by the user, and this embodiment is not limited thereto.
The server 20 is further configured to determine whether the usage information is preset valid information.
It should be noted that, the preset valid information may be that the medicine use result fed back by the user after using the target medicine is valid.
It can be understood that the server 20 determines whether the usage information is preset valid information, that is, the server 20 determines whether the disease treatment requirement of the user is satisfied, that is, when the usage information is preset valid information, it determines that the usage result of the target medicine is valid, and the disease treatment requirement of the user is satisfied; when the usage information is not preset effective information, the usage result of the target medicine is judged to be invalid or the ideal effect is not achieved, and the disease treatment requirement of the user is not met.
The server 20 is further configured to send the usage information to the target expert terminal device when the usage information is not the preset valid information, receive current drug information fed back by the target expert terminal device, send the current drug information to the user terminal device, receive the current information fed back by the user terminal device, update the usage information according to the current information, and return the step of determining whether the usage information is the preset valid information, until the usage information is the preset valid information.
It should be understood that when the usage information is not preset with the effective information, it is determined that the usage result of the target medicine is invalid or that the desired effect is not achieved. At this time, it is necessary to re-recommend the medicine to the user. Therefore, it is necessary to transmit the usage information to the target expert terminal device so that an expert using the target expert terminal device can re-prescribe a medicine based on the usage information to generate current medicine information.
It will be appreciated that, after receiving the current drug information fed back by the target expert terminal device, the server 20 needs to send the current drug information to the user terminal device 10, so that the user terminal device displays the current drug information, and the user terminal device 10 can use the drug treatment according to the current drug information and feed back the information of the current treatment. After receiving the current information, the server 20 needs to update the usage information according to the current information to obtain the latest user usage information, and after obtaining the latest user usage information, it needs to determine whether the usage information is preset valid information again, if not, the server continues to send the usage information to the target expert terminal device, so that an expert using the target expert terminal device restarts the medicine according to the usage information until the usage information is preset valid information, that is, when the usage result of the target medicine is valid.
The server 20 is further configured to store the usage information, the initial diagnosis result, the expert diagnosis result, the target medicine information, and the usage information in a preset database when the usage information is the preset valid information.
It should be understood that when the usage information is preset valid information, the usage result of the target drug is determined to be valid, and the disease treatment requirement of the user is satisfied. At this time, the usage information, the initial diagnosis result, the expert diagnosis result, the target medicine information, and the usage information may be stored in a preset database for the user to view later or as a reference for other cases.
In this embodiment, the user terminal device 10 receives the usage information fed back by the user according to the target drug information, and sends the usage information to the server 20, and the server 20 stores the initial diagnosis result, the expert diagnosis result, the target drug information and the usage information into a preset database, so that the drug information and the diagnosis result used by the user can be accurately recorded, and the user experience is improved.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as described above, comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.

Claims (6)

1. A farming service system, the farming service system comprising: user terminal equipment and a server;
the user terminal equipment is used for acquiring multimedia information input by a user and sending the multimedia information to the server;
the server is used for diagnosing diseases according to the multimedia information and obtaining an initial diagnosis result;
the server is further configured to determine an expert information table to be selected and a drug information table to be selected according to the initial diagnosis result, and send the expert information table to be selected and the drug information table to be selected to the user terminal device;
the user terminal equipment is also used for receiving target expert information selected by the user based on the expert information table to be selected and sending the target expert information to the server;
the server is further configured to search a target expert terminal device corresponding to the target expert information, and send the multimedia information and the drug information table to be selected to the target expert terminal device;
the server is further configured to receive an expert diagnosis result fed back by the target expert terminal device according to the multimedia information and the to-be-selected drug information table, and determine whether the expert diagnosis result is a preset determination result;
The server is further configured to extract target drug information from the expert diagnosis result when the expert diagnosis result is the preset determination result, and send the target drug information to the user terminal device;
the user terminal equipment is also used for displaying the expert diagnosis result and the target medicine information;
the server is further used for acquiring warehousing expert information and warehousing medicine information in a preset database, and determining a first association degree according to the initial diagnosis result and the warehousing expert information, wherein the first association degree is used for indicating the degree of expert's good treatment of diseases corresponding to the disease information;
the server is further configured to sort the warehousing expert information according to the first association degree, obtain an expert sorting result, and generate an expert information table to be selected according to the expert sorting result;
the server is further configured to determine a second association according to the initial diagnosis result and the in-warehouse drug information, where the second association is used to represent a curative effect of the drug for treating a disease corresponding to the disease information;
the server is further configured to search authentication information corresponding to the drug information in storage, and sort the drug information in storage according to the authentication information and the second association degree, so as to obtain a drug sorting result;
The server is further configured to generate a to-be-selected drug information table according to the drug sorting result, and send the to-be-selected expert information table and the to-be-selected drug information table to the user terminal device;
the server is also used for extracting the characteristics of the multimedia information to obtain the current information characteristics;
the server is further used for classifying the multimedia information according to the current information characteristics to obtain a current information category;
the server is also used for diagnosing diseases according to the current information category and the multimedia information, and obtaining an initial diagnosis result;
the server is further used for counting the category number of the current information category and judging whether the category number is larger than a preset threshold value or not;
the server is further configured to search for a category weight corresponding to the current information category when the number of categories is greater than the preset threshold;
the server is further used for extracting the multimedia information according to the current information category to obtain the multimedia information to be matched;
the server is further used for matching the multimedia information to be matched with the multimedia information samples in the preset database to obtain a matching result;
The server is further used for determining an initial diagnosis result according to the matching result and the category weight;
the server is also used for extracting the characteristics of the multimedia information to be matched to obtain the characteristics of the diseases to be matched;
the server is also used for extracting the characteristics of the multimedia information samples in the preset database to obtain disease characteristic samples;
the server is further configured to match the disease feature to be matched with the disease feature sample, and obtain a matching result.
2. The farming service system of claim 1, wherein the server is further configured to obtain warehousing laboratory information in a preset database and current location information of the user terminal device when the expert diagnosis result is not the preset determination result;
the server is further used for determining laboratory distance information according to the warehouse-in laboratory information and the current position information, and sequencing the warehouse-in laboratory information according to the laboratory distance information to obtain a laboratory sequencing result;
the server is further configured to determine target laboratory information according to the laboratory sequencing result, and send the target laboratory information to the user terminal device;
The user terminal equipment is also used for displaying the target laboratory information, receiving a laboratory diagnosis result fed back by the user according to the target laboratory information, and sending the laboratory diagnosis result to the server;
the server is further configured to establish a correspondence between the multimedia information and the laboratory diagnosis result, and store the correspondence in the preset database.
3. The farming service system of claim 1, wherein the server is further configured to detect identification information of the user terminal device, and determine whether the identification information is preset identification information;
the server is further configured to obtain mutual assistance site information in a preset database and current location information of the user terminal device when the identification information is the preset identification information;
the server is further used for determining mutual-assistance site distance information according to the mutual-assistance site information and the current position information, and sorting the mutual-assistance site information according to the mutual-assistance site distance information to obtain a mutual-assistance site sorting result;
the server is also used for determining target mutual-aid site information according to the mutual-aid site sequencing result and searching a target mutual-aid site terminal corresponding to the target mutual-aid site information;
The server is further configured to send the current location information to the target mutual-assistance site terminal.
4. A farming service system according to any one of claims 1-3, wherein said server is further configured to determine whether said initial diagnostic result is a preset epidemic result;
the server is further configured to obtain terminal device information of the user terminal device when the initial diagnosis result is the preset epidemic result, and send the initial diagnosis result and the terminal device information to a preset alarm terminal.
5. A farming service system according to any one of claims 1-3, wherein said server is further configured to generate a drug purchase link from said target drug information and to send said drug purchase link to said user terminal device;
and the user terminal equipment is also used for determining a target webpage according to the medicine purchase link and opening the target webpage.
6. A farming service system according to any one of claims 1-3, wherein said user terminal device is further configured to receive usage information fed back by said user according to said target drug information, and send said usage information to said server;
The server is further used for judging whether the use information is preset effective information or not;
the server is further configured to send the usage information to the target expert terminal device when the usage information is not the preset valid information, receive current drug information fed back by the target expert terminal device, send the current drug information to the user terminal device, receive the current information fed back by the user terminal device, update the usage information according to the current information, and return the step of determining whether the usage information is the preset valid information until the usage information is the preset valid information;
the server is further configured to store the usage information, the initial diagnosis result, the expert diagnosis result, the target medicine information, and the usage information in a preset database when the usage information is the preset valid information.
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